Articles: pandemics.
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Review Meta Analysis
Time-varying Reproductive Rates for SARS-CoV-2 and its Implications as a Means of Disease Surveillance on Lockdown Restrictions.
To quantify the time-varying reproductive rates for SARS-CoV-2 and its implication in Louisiana. ⋯ As locations around the world begin to lift restrictions, monitoring of infectious spread will be essential.
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Psychother Psychosom · Jan 2021
Meta AnalysisWhat We Have Learned from Two Decades of Epidemics and Pandemics: A Systematic Review and Meta-Analysis of the Psychological Burden of Frontline Healthcare Workers.
In light of the current coronavirus disease 2019 (COVID-19) pandemic and potential future infectious disease outbreaks, a comprehensive understanding of the negative effects of epidemics and pandemics on healthcare workers' mental health could inform appropriate support interventions. Thus, we aimed to synthesize and quantify the psychological and psychosomatic symptoms among frontline medical staff. We searched four databases up to March 19, 2020 and additional literature, with daily search alerts set up until October 26, 2020. ⋯ Frontline staff showed a wide range of symptoms, including concern about transmitting the virus to the family (60.39%, 95% CI 42.53-76.96), perceived stress (56.77%, 95% CI 34.21-77.95), concerns about own health (45.97%, 95% CI 31.08-61.23), sleeping difficulties (39.88%, 95% CI 27.70-52.72), burnout (31.81%, 95% CI 13.32-53.89), symptoms of depression (25.72%, 95% CI 18.34-33.86), symptoms of anxiety (25.36%, 95% CI 17.90-33.64), symptoms of posttraumatic stress disorder (24.51%, 95% CI 18.16-31.46), mental health issues (23.11%, 95% CI 15.98-31.10), and symptoms of somatization (14.68%, 95% CI 10.67-19.18). We found consistent evidence for the pervasive and profound impact of large-scale outbreaks on the mental health of frontline healthcare workers. As the CO-VID-19 crisis continues to unfold, guaranteeing easy access to support structures for the entire healthcare workforce is vitally important.
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With the threat of a worldwide pandemic of COVID-19, it is important to identify the prognostic factors for critical conditions among patients with non-critical COVID-19. Prognostic factors and models may assist front-line clinicians in rapid identification of high-risk patients, early management of modifiable factors, appropriate triaging and optimising the use of limited healthcare resources. We aim to systematically assess the clinical, laboratory and imaging predictors as well as prediction models for severe or critical illness and mortality in patients with COVID-19. ⋯ CRD 42020178798.
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Meta Analysis
Diagnostic accuracy of non-contact infrared thermometers and thermal scanners: A systematic review and meta-analysis.
Infrared thermal screening, via the use of handheld non-contact infrared thermometers (NCITs) and thermal scanners, has been widely implemented all over the world. We performed a systematic review and meta-analysis to investigate its diagnostic accuracy for the detection of fever. We searched PubMed, Embase, the Cochrane Library, medRxiv, bioRxiv, ClinicalTrials.gov, COVID-19 Open Research Dataset, COVID-19 research database, Epistemonikos, EPPI-Centre, World Health Organization International Clinical Trials Registry Platform, Scopus and Web of Science databases for studies where a non-contact infrared device was used to detect fever against a reference standard of conventional thermometers. ⋯ Thermal screening has reasonable diagnostic accuracy in the detection of fever, although it may vary with changes in subject characteristics, setting, index test and the reference standard used. Thermal screening has a good NPV even during a pandemic. The policymakers must take into consideration the factors surrounding the screening strategy while forming ad-hoc guidelines.
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Good communication strategies are essential in times of crisis, such as the coronavirus pandemic. The dissemination of inaccurate information and the need for social isolation to control coronavirus disease 2019 (COVID-19) have shown a negative impact on the population, causing damage to mental health, with the appearance or worsening of symptoms of stress, fear, anxiety, and depression. Thus, the systematic review study is intended to gather evidence on the impact of information about COVID-19 on the mental health of the population. ⋯ PROSPERO CRD42020182918.